Frequency Specification

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The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform

Jian Shen - One of the best experts on this subject based on the ideXlab platform.

  • Filter design for discrete-time two-dimensional T–S fuzzy systems with finite Frequency Specification
    International Journal of Systems Science, 2019
    Co-Authors: Zhaoxia Duan, Jun Zhou, Jian Shen
    Abstract:

    This paper deals with the filter design problem of two-dimensional (2-D) discrete-time nonlinear systems described by Fornasini–Marchesini local state–space (FM LSS) model under Takagi–Sugeno (T–S) fuzzy rules. The Frequency of disturbance input is assumed to be known and to reside in a finite Frequency (FF) range. A novel so-called FF l2 gain is defined for 2-D discrete-time systems, which extends the standard l2 gain. The aim of this paper is to design filters such that the filtering error system is asymptotically stable and has the disturbance attenuation performance in sense of FF l2 gain. Sufficient conditions for the existence of a desired fuzzy filter are established in terms of linear matrix inequalities (LMIs). Simulation examples demonstrate the technique and its advantage.

  • filter design for discrete time two dimensional t s fuzzy systems with finite Frequency Specification
    International Journal of Systems Science, 2019
    Co-Authors: Zhaoxia Duan, Jun Zhou, Jian Shen
    Abstract:

    This paper deals with the filter design problem of two-dimensional (2-D) discrete-time nonlinear systems described by Fornasini–Marchesini local state–space (FM LSS) model under Takagi–Sugeno (T–S) fuzzy rules. The Frequency of disturbance input is assumed to be known and to reside in a finite Frequency (FF) range. A novel so-called FF l2 gain is defined for 2-D discrete-time systems, which extends the standard l2 gain. The aim of this paper is to design filters such that the filtering error system is asymptotically stable and has the disturbance attenuation performance in sense of FF l2 gain. Sufficient conditions for the existence of a desired fuzzy filter are established in terms of linear matrix inequalities (LMIs). Simulation examples demonstrate the technique and its advantage.

Shinji Hara - One of the best experts on this subject based on the ideXlab platform.

  • an achievability condition for n dimensional behaviors with a finite Frequency Specification dissipation inequalities approach
    Conference on Decision and Control, 2010
    Co-Authors: Chiaki Kojima, Shinji Hara
    Abstract:

    Many of practical design Specifications are provided by finite Frequency properties described by inequalities over restricted finite Frequency intervals. The properties are known as the important property in integrated design of plant and controller. Recently, it was proved that the property is equivalent to the dissipation inequality in time and space domain, where the dissipation inequality is an inequality which describes the energy and power interaction of a dynamical system with its outside environment. In this paper, we consider a synthesis of a controller for finite Frequency properties for n-dimensional systems described by partial differential equations. As a main result, we derive a necessary and sufficient condition for the achievability of a controller satisfying a finite Frequency Specification in terms of dissipation inequalities. This result clarifies a physical interpretation of the controller from the dissipativity viewpoint.

  • CDC - An achievability condition for n-dimensional behaviors with a finite Frequency Specification: Dissipation inequalities approach
    49th IEEE Conference on Decision and Control (CDC), 2010
    Co-Authors: Chiaki Kojima, Shinji Hara
    Abstract:

    Many of practical design Specifications are provided by finite Frequency properties described by inequalities over restricted finite Frequency intervals. The properties are known as the important property in integrated design of plant and controller. Recently, it was proved that the property is equivalent to the dissipation inequality in time and space domain, where the dissipation inequality is an inequality which describes the energy and power interaction of a dynamical system with its outside environment. In this paper, we consider a synthesis of a controller for finite Frequency properties for n-dimensional systems described by partial differential equations. As a main result, we derive a necessary and sufficient condition for the achievability of a controller satisfying a finite Frequency Specification in terms of dissipation inequalities. This result clarifies a physical interpretation of the controller from the dissipativity viewpoint.

Zhaoxia Duan - One of the best experts on this subject based on the ideXlab platform.

  • Filter design for discrete-time two-dimensional T–S fuzzy systems with finite Frequency Specification
    International Journal of Systems Science, 2019
    Co-Authors: Zhaoxia Duan, Jun Zhou, Jian Shen
    Abstract:

    This paper deals with the filter design problem of two-dimensional (2-D) discrete-time nonlinear systems described by Fornasini–Marchesini local state–space (FM LSS) model under Takagi–Sugeno (T–S) fuzzy rules. The Frequency of disturbance input is assumed to be known and to reside in a finite Frequency (FF) range. A novel so-called FF l2 gain is defined for 2-D discrete-time systems, which extends the standard l2 gain. The aim of this paper is to design filters such that the filtering error system is asymptotically stable and has the disturbance attenuation performance in sense of FF l2 gain. Sufficient conditions for the existence of a desired fuzzy filter are established in terms of linear matrix inequalities (LMIs). Simulation examples demonstrate the technique and its advantage.

  • filter design for discrete time two dimensional t s fuzzy systems with finite Frequency Specification
    International Journal of Systems Science, 2019
    Co-Authors: Zhaoxia Duan, Jun Zhou, Jian Shen
    Abstract:

    This paper deals with the filter design problem of two-dimensional (2-D) discrete-time nonlinear systems described by Fornasini–Marchesini local state–space (FM LSS) model under Takagi–Sugeno (T–S) fuzzy rules. The Frequency of disturbance input is assumed to be known and to reside in a finite Frequency (FF) range. A novel so-called FF l2 gain is defined for 2-D discrete-time systems, which extends the standard l2 gain. The aim of this paper is to design filters such that the filtering error system is asymptotically stable and has the disturbance attenuation performance in sense of FF l2 gain. Sufficient conditions for the existence of a desired fuzzy filter are established in terms of linear matrix inequalities (LMIs). Simulation examples demonstrate the technique and its advantage.

Chiaki Kojima - One of the best experts on this subject based on the ideXlab platform.

  • an achievability condition for n dimensional behaviors with a finite Frequency Specification dissipation inequalities approach
    Conference on Decision and Control, 2010
    Co-Authors: Chiaki Kojima, Shinji Hara
    Abstract:

    Many of practical design Specifications are provided by finite Frequency properties described by inequalities over restricted finite Frequency intervals. The properties are known as the important property in integrated design of plant and controller. Recently, it was proved that the property is equivalent to the dissipation inequality in time and space domain, where the dissipation inequality is an inequality which describes the energy and power interaction of a dynamical system with its outside environment. In this paper, we consider a synthesis of a controller for finite Frequency properties for n-dimensional systems described by partial differential equations. As a main result, we derive a necessary and sufficient condition for the achievability of a controller satisfying a finite Frequency Specification in terms of dissipation inequalities. This result clarifies a physical interpretation of the controller from the dissipativity viewpoint.

  • CDC - An achievability condition for n-dimensional behaviors with a finite Frequency Specification: Dissipation inequalities approach
    49th IEEE Conference on Decision and Control (CDC), 2010
    Co-Authors: Chiaki Kojima, Shinji Hara
    Abstract:

    Many of practical design Specifications are provided by finite Frequency properties described by inequalities over restricted finite Frequency intervals. The properties are known as the important property in integrated design of plant and controller. Recently, it was proved that the property is equivalent to the dissipation inequality in time and space domain, where the dissipation inequality is an inequality which describes the energy and power interaction of a dynamical system with its outside environment. In this paper, we consider a synthesis of a controller for finite Frequency properties for n-dimensional systems described by partial differential equations. As a main result, we derive a necessary and sufficient condition for the achievability of a controller satisfying a finite Frequency Specification in terms of dissipation inequalities. This result clarifies a physical interpretation of the controller from the dissipativity viewpoint.

Kaushik Roy - One of the best experts on this subject based on the ideXlab platform.

  • Frequency Specification Testing of Analog Filters Using Wavelet Transform of Dynamic Supply Current
    Journal of Electronic Testing, 2005
    Co-Authors: Swarup Bhunia, Arijit Raychowdhury, Kaushik Roy
    Abstract:

    Wavelet transform has the property of resolving signal in both time and Frequency unlike Fourier transform. In this work, we show that time-domain information obtained from wavelet analysis of supply current can be used to test the Frequency Specification of analog filters efficiently. The pole/zero locations in the Frequency response of analog filters shift due to change in component values with process variations. It is essential to test the filters for the shift in Frequency response and fix it during production test. Wavelet analysis of supply current can be a promising alternative to test Frequency Specification of analog filters, since it needs only one AC stimulus and is virtually unaffected by transistor threshold variation. Simulation results on two test circuits demonstrate that we can estimate pole/zero shift with less than 3% error using only one measurement, which requires about 18 measurements in the conventional technique.

  • Frequency Specification testing of analog filters using wavelet transform of dynamic supply current
    International Symposium on Signals Circuits and Systems, 2004
    Co-Authors: Swarup Bhunia, Arijit Raychowdhury, Kaushik Roy
    Abstract:

    The wavelet transform has the property of resolving the signal in both time and Frequency, unlike the Fourier transform. In this work, we show that time-domain information obtained from wavelet analysis of the supply current can be used to efficiently test the Frequency Specification of analog filters. The pole/zero locations in the Frequency response of analog filters shift due to changes in component values with process variations. It is essential to test the filters for the shift in Frequency response and fix it, during production test. Wavelet analysis of the supply current can be a promising alternative to test the Frequency Specification of analog filters, since it needs only one ac stimulus and is virtually unaffected by transistor threshold variation. Simulation results on two test circuits demonstrate that we can estimate the pole/zero shift with less than 3% error using only one measurement, which requires about 18 measurements in the conventional technique.

  • ISQED - Frequency Specification testing of analog filters using wavelet transform of dynamic supply current
    SCS 2003. International Symposium on Signals Circuits and Systems. Proceedings (Cat. No.03EX720), 1
    Co-Authors: Swarup Bhunia, Arijit Raychowdhury, Kaushik Roy
    Abstract:

    The wavelet transform has the property of resolving the signal in both time and Frequency, unlike the Fourier transform. In this work, we show that time-domain information obtained from wavelet analysis of the supply current can be used to efficiently test the Frequency Specification of analog filters. The pole/zero locations in the Frequency response of analog filters shift due to changes in component values with process variations. It is essential to test the filters for the shift in Frequency response and fix it, during production test. Wavelet analysis of the supply current can be a promising alternative to test the Frequency Specification of analog filters, since it needs only one ac stimulus and is virtually unaffected by transistor threshold variation. Simulation results on two test circuits demonstrate that we can estimate the pole/zero shift with less than 3% error using only one measurement, which requires about 18 measurements in the conventional technique.